DocumentCode :
3475627
Title :
Research on an optimization model for logistics nodes dynamic location and its solution algorithm
Author :
Zhang, Dezhi ; Xie, Ruhe ; Liu, Ting ; Li, Shuangyan
Author_Institution :
Central South Univ., Changsha
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2187
Lastpage :
2192
Abstract :
Based on the logistics nodes system consisting of first-degree logistics node (logistics park) secondary logistics nodes (including logistics center and distribution center), a dynamic logistics nodes location model of multi-period , multi-type cargo flow and multiple logistics nodes is given. The optimization model considers the factors including fixed cost for logistics opening, handling cost and economic of scale of different type logistics nodes. An effective algorithm based on the improved Ford- Fulkerson algorithm and genetic algorithm is presented according to the characteristic of optimization problem. Finally, a numerical example is provided to validate the proposed model and solution algorithm. The findings indicate that the model proposed in this paper is a useful tool for the investigation of the Multi-period and Multiple Logistics Node Dynamic Location Problem.
Keywords :
genetic algorithms; goods distribution; logistics; first-degree logistics node; genetic algorithm; logistics nodes dynamic location; logistics nodes system; logistics opening; multiple logistics node; multitype cargo flow; secondary logistics nodes; Automation; Cities and towns; Cost function; Dynamic programming; Genetic algorithms; Genetic engineering; Heuristic algorithms; Logistics; Road transportation; Traffic control; dynamic location; heuristic rules; hybrid genetic algorithm; logistics nodes; optimization model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338938
Filename :
4338938
Link To Document :
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